Justin Napolitano

• Stand up Azure Data Factory + Synapse pipelines that land Epic Clarity extracts into governed models for quality and operations teams.
• Build Power BI and Looker Studio dashboards that surface heart failure and readmission metrics for service line leaders within 24 hours of discharge.
• Harden dbt and SQL transformations that reconcile EDW, Vizient, and bedside documentation into one source of truth for CFO and CMO briefs.
• Partner with nursing, cardiology, and digital to automate alerts, reducing manual spreadsheet updates by 60% across the network.

• Partnered with clinical and operations teams to define data requirements for performance and quality improvement initiatives.
• Designed SQL-based reporting pipelines and Power BI dashboards for inpatient care and readmissions metrics.
• Supported data validation and reconciliation efforts across Epic Clarity and EDW environments.
• Contributed to cross-functional analytic projects focused on cost reduction, patient outcomes, and digital health integration.

• Led evaluation of six AI and data vendors, assessing integration, latency, and scalability to guide $5M in platform investment decisions.
• Fine-tuned large language models using Python, improving generative quality by 10% based on editorial scoring loops.
• Built twelve Python- and SQL-based reporting pipelines in GCP, integrating with Looker to deliver topic insights across thirty media brands.
• Increased subscription conversion rates by 5% through KPI reporting in GCP that powered targeted marketing runs.
• Modeled first-party user behavior in Treasure Data CDP using 150+ signals to support retention and exec briefings across Rolling Stone, Billboard, and more.

• Implemented two customer data platforms to improve audience segmentation and campaign targeting for 2M+ high-value prospects.
• Migrated three legacy systems to GCP, doubling data processing speeds and streamlining analytics workflows.
• Automated email marketing pipelines that converted 10% of 5,000 cold leads into qualified clients.

• Designed a rubric for coding international human rights violations using statutes from major global treaties.
• Led a five-person research team to develop an open-source MySQL database documenting systemic abuses across global conflict zones.
• Co-authored an analysis on gender-based violence published by De Gruyter and presented at the International Criminal Court in The Hague.

• Designed and implemented a reporting suite for heart failure populations, covering I/O compliance, GDMT discharge, EF capture, and readmission metrics.
• Developed a reusable data dictionary and benchmarking logic to support Power BI dashboards and documentation.
• Standardized ICD-10-based cohort definitions and EF extraction logic across multiple reporting workflows.

• Built an observed-to-expected (O/E) mortality analysis pipeline using Vizient data to identify performance gaps by service line and DRG.
• Collaborated with clinical leaders to translate O/E insights into targeted quality improvement initiatives.

• Explored design of an AI agent to assist hospital supply chain and procurement teams with forecasting, vendor evaluation, and contract analysis.
• Drafted a conceptual architecture for data ingestion, retrieval-augmented generation, and workflow integration.

Coursera specialization focused on Python 3 programming and applied data analysis.

Turkish Kurdish Analysis Database